| Título |
Recognizing Textual Entailment Using a Machine Learning Approach |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science |
| Resumen |
We present our experiments on Recognizing Textual Entailment based on modeling the entailment relation as a classification problem. As features used to classify the entailment pairs we use a symmetric similarity measure and a non-symmetric similarity measure. Our system achieved an accuracy of 66% on the RTE-3 development dataset (with 10-fold cross validation) and accuracy of 63% on the RTE-3 test dataset. |
| Observaciones |
9th Mexican International Conference on Artificial Intelligence, MICAI 2010; Code 82886; ISBN: 3642167721;978-364216772-0 |
| Lugar |
Pachuca |
| País |
Mexico |
| No. de páginas |
177-185 |
| Vol. / Cap. |
Vol. 6438, Issue 2 |
| Inicio |
2010-11-08 |
| Fin |
2010-11-13 |
| ISBN/ISSN |
3642167721;978-36421 |
